Spatiotemporal remodeling of chromatin topology architecture and H3K27me3 redistribution underlies vascular pathology in Hutchinson-Gilford progeria syndrome
Ngubo, M.; Ahuja, N.; Karimpour, R.; Shrestha, A.; Hendzel, M.; Perkins, T. J.; Stanford, W. L.
Show abstract
BackgroundHutchinson-Gilford progeria syndrome (HGPS) is a devastating premature aging disorder driven by the accumulation of progerin, leading to severe vascular pathology. While epigenetic alterations are implicated, the spatiotemporal reorganization of the higher-order chromatin and its functional impact on vascular smooth muscle cell (VSMC) transcription remain poorly defined. ResultsThrough an integrated multi-omics approach combining in situ high-throughput chromosome conformation capture (Hi-C) and Cleavage Under Targets and Tagmentation (CUT&Tag) profiling of CTCF, SMC1A, H3K27me3, H3K27ac, and H3K36me3 with transcriptomic analyses from control and HGPS iPSC-derived VSMCs, we reveal that global topologically associating domain (TAD) architecture remains largely intact in HGPS. However, the internal chromatin states of TADs undergo dynamic, passage-specific remodeling, characterized by a progressive accumulation of broad H3K27me3-repressed domains. This is accompanied by a loss of A/B compartment segregation, as confirmed by DNA-FISH, indicating a collapse of higher-order chromatin organization in late passage. Crucially, we uncover widespread rewiring of enhancer-promoter (E-P) loops, which is linked to the dysregulation of genes critical for vascular development, extracellular matrix organization, and atherosclerosis. ConclusionsOur study demonstrates that spatiotemporal redistribution of repressive histone marks and reorganization of E-P interactions within a structurally resilient TAD framework underpin widespread transcriptional dysregulation in HGPS vascular pathogenesis. This uncovers a critical dissociation between higher-order chromatin architecture and histone modification landscape, providing a mechanistic basis for the failure of vascular homeostasis in progeria. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/693713v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@101fcf0org.highwire.dtl.DTLVardef@1850284org.highwire.dtl.DTLVardef@16854fforg.highwire.dtl.DTLVardef@a46141_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Histone H3.3 lysine 9 and 27 control repressive chromatin states at cryptic cis-regulatory elements and bivalent promoters in mouse embryonic stem cells 95%
- Chromatin interaction maps of human arterioles reveal new mechanisms for the genetic regulation of blood pressure 95%
- H3K36 Methylation - a Guardian of Epigenome Integrity 94%
Similar papers in this journal
- Quantitative trait loci mapped for TCF21 binding, chromatin accessibility and chromosomal looping in coronary artery smooth muscle cells reveal molecular mechanisms of coronary disease loci 94%
- Dissecting the Contribution of Transposable Elements to Interphase Chromosome Structure 94%
- Regulatory roles of three-dimensional structures of chromatin domains 94%
Similar papers in this journal
- Genomic features underlie the co-option of SVA transposons as cis-regulatory elements in human pluripotent stem cells 95%
- CRISPR perturbations at many coronary artery disease loci impair vascular endothelial cell functions 94%
- TFAP2 paralogs facilitate chromatin access for MITF at pigmentation genes but inhibit expression of cell-cell adhesion genes independently of MITF 94%
Similar papers in this journal
- Retroelement co-option disrupts the cancer transcriptional programme 94%
- Integrative Epigenomic and High-Throughput Functional Enhancer Profiling Reveals Determinants of Enhancer Heterogeneity in Gastric Cancer 93%
- Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.